Issue with Ollama LLM Integration - Port Binding and Quota Exceeded - RASA CALM

I set Huggingface API Key but now, got another error :

2025-03-31 10:16:16 ERROR rasa.dialogue_understanding.generator.flow_retrieval - [error ] Failed to populate the FAISS store with the provided flows. error=ProviderClientAPIException(‘Failed to embed documents\nOriginal error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0)\nTraceback (most recent call last):\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\main.py”, line 3548, in embedding\n response = huggingface.embedding(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 1151, in embedding\n data = self._transform_input(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 956, in _transform_input\n hf_task = get_hf_task_embedding_for_model(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 289, in get_hf_task_embedding_for_model\n model_info_dict = model_info.json()\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\httpx\_models.py”, line 832, in json\n return jsonlib.loads(self.content, **kwargs)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\init.py”, line 346, in loads\n return _default_decoder.decode(s)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 337, in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 355, in raw_decode\n raise JSONDecodeError(“Expecting value”, s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n)’) error_type=ProviderClientAPIException event_key=flow_retrieval.populate_vector_store.not_populated 2025-03-31 10:16:16 ERROR rasa.dialogue_understanding.generator.llm_based_command_generator - [error ] Flow retrieval store is inaccessible. error=ProviderClientAPIException(‘Failed to embed documents\nOriginal error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0)\nTraceback (most recent call last):\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\main.py”, line 3548, in embedding\n response = huggingface.embedding(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 1151, in embedding\n data = self._transform_input(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 956, in _transform_input\n hf_task = get_hf_task_embedding_for_model(\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 289, in get_hf_task_embedding_for_model\n model_info_dict = model_info.json()\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\httpx\_models.py”, line 832, in json\n return jsonlib.loads(self.content, **kwargs)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\init.py”, line 346, in loads\n return _default_decoder.decode(s)\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 337, in decode\n obj, end = self.raw_decode(s, idx=_w(s, 0).end())\n File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 355, in raw_decode\n raise JSONDecodeError(“Expecting value”, s, err.value) from None\njson.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)\n)’) event_key=llm_based_command_generator.train.failed 2025-03-31 10:16:16 ERROR rasa.engine.graph - [error ] graph.node.error_running_component node_name=train_CompactLLMCommandGenerator0 2025-03-31 10:16:17 ERROR rasa.main - [error ] ProviderClientAPIException: Failed to embed documents Original error: litellm.APIConnectionError: Expecting value: line 1 column 1 (char 0) Traceback (most recent call last): File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\main.py”, line 3548, in embedding response = huggingface.embedding( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 1151, in embedding data = self._transform_input( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 956, in transform_input hf_task = get_hf_task_embedding_for_model( File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\litellm\llms\huggingface_restapi.py”, line 289, in get_hf_task_embedding_for_model model_info_dict = model_info.json() File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\site-packages\httpx_models.py”, line 832, in json return jsonlib.loads(self.content, **kwargs) File "C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json_init.py", line 346, in loads return _default_decoder.decode(s) File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File “C:\Users\jl3.PRT-063\anaconda3\envs\ollama_env\lib\json\decoder.py”, line 355, in raw_decode raise JSONDecodeError(“Expecting value”, s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

event_key=cli.exception.rasa_exception